Relationship between Plant Biodiversity and Carbon Stock in Rural Area of Cisadane Watershed

*Sunardi Sunardi orcid  -  Universitas Nusa Bangsa, Indonesia
Regan Leonardus Kaswanto orcid  -  Institut Pertanian Bogor, Indonesia
Sofyan Sjaf  -  Institut Pertanian Bogor, Indonesia
Published: 30 Nov 2020.
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Abstract
The main activities in the rural landscape are agriculture, involved natural resources management that compose the function of area as settlement, government services, social services and economy activities.  These activities affected the rural landscape that changed plant diversities as well as carbon stock. The aim of this research was to evaluate biodiversity and carbon stock in the rural area of Cisadane Watershed.  Two villages were defined on a purposive random sampling, i.e. Sukadamai and Bantarsari.  The sampling plots were selected based on main land use type with size for tree was 20 m × 20 m, pole was 10 m x 10 m, sapling was 5 m x 5 m and seedling was 2 m x 2 m; with 3 replications.  Similarly, other concentric plots were established. The number of plant species were counted, diameter at breast height (DBH) and plant height were measured.   The analysis of carbon stock, plant diversity and the relationship was developed using Microsoft Excel and R 3.6.1 software.  The results showed that main land use in Sukadamai and Bantarsari Village consisted of settlement area, farmland, mixed farming and palm oil plantation.  In the research area where 106 species from 43 families that classified into 9 horizontal diversity based on function and 5 vertical diversity based on plant height. The values of Shannon-Wiener Diversity Index (H’) ranged 2,78–3,20.  Estimated carbon stocks were 1,16–51,40 Mg ha−1 in research areas, respectively. These research concluded there was a negative correlation between species richness and diversity index with carbon stock in the village landscapes.
Keywords: Rural landscape, Village, Plant diversity index, Species richness, Carbon stock

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Section: Research Article
Language: EN
In Vol 18, No 3 (2020): November 2020
Statistics: 378 107
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